Weed Sensing

Weed Sensing is a computational method in precision agriculture that identifies and localizes unwanted plant species in crop fields through sensor-based data acquisition and analysis to enable targeted herbicide application.

91

Publications

5K

Citations

338

Authors

128

Institutions

Publications per year

2017–2026

48

Authors

338

  1. DA
    Dionisio Andújar

    Centre for Automation and Robotics, Spain

    11 publications · 651 citations

    11

    h-index

  2. RG
    Roland Gerhards

    University of Hohenheim, Germany

    9 publications · 618 citations

    9

    h-index

  3. CF
    César Fernández‐Quintanilla

    Consejo Superior de Investigaciones Científicas, Spain

    6 publications · 550 citations

    6

    h-index

  4. JD
    José Dorado

    Instituto de Ciencias Agrarias, Spain

    6 publications · 369 citations

    6

    h-index

  5. GG
    Gerassimos G. Peteinatos

    University of Hohenheim, Germany

    5 publications · 422 citations

    5

    h-index

1–5 of 338

Venues

  1. Sensors

    10 publications · 489 citations

    10

    h-index

  2. Computers and Electronics in Agriculture

    9 publications · 548 citations

    9

    h-index

  3. Weed Research

    9 publications · 1K citations

    9

    h-index

  4. Transactions of the ASAE

    5 publications · 344 citations

    5

    h-index

  5. Weed Science

    5 publications · 233 citations

    5

    h-index

1–5